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Generic production planning model for remanufacturing systems

机译:再制造系统的通用生产计划模型

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摘要

Remanufacturing, one of the most advanced product recovery options, processes used or end-of-life products with disassembly, reprocessing, and reassembly operations in such a way that their qualities are as good as new. This paper focuses on production planning in remanufacturing systems over a given planning horizon with discrete time periods. The main decisions are: (a) the number of used or end-of-life products to be disassembled and disposed; (b) the number of parts or components to be reprocessed, disposed, and newly purchased; and (c) the number of products to be reassembled. The objective is to maximize the total profit, i.e. the difference between the sales revenue and the relevant costs. In particular, set-up costs and times are explicitly considered since set-ups are significant in remanufacturing systems. As an extension of the existing literatures on production planning in remanufacturing systems, a generic mixed integer programming model is suggested that incorporates the detailed processes of the remanufacturing process. Then, owing to the complexity of the problem, two types of heuristics based on the linear programming technique are developed. To show the performances of the heuristics, computational experiments were done on some test instances, and the results are reported.
机译:再制造,最先进的产品回收选项之一,使用的过程或具有拆解,重新加工和重新组装操作的报废产品,其质量应与新产品一样好。本文着重于在给定计划范围内以离散时间段进行的再制造系统中的生产计划。主要决定是:(a)将要拆卸和处置的旧产品或报废产品的数量; (b)要重新加工,处置和新购买的零件或组件的数量; (c)要重新组装的产品数量。目的是使总利润最大化,即销售收入与相关成本之间的差额。尤其是,由于重新制造系统中的设置很重要,因此明确考虑了设置成本和时间。作为对再制造系统中生产计划的现有文献的扩展,提出了一种通用的混合整数规划模型,该模型结合了再制造过程的详细过程。然后,由于问题的复杂性,开发了两种基于线性规划技术的启发式算法。为了展示启发式算法的性能,在一些测试实例上进行了计算实验,并报告了结果。

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